Kay Samuel

3.5k total citations
61 papers, 2.6k citations indexed

About

Kay Samuel is a scholar working on Molecular Biology, Surgery and Hepatology. According to data from OpenAlex, Kay Samuel has authored 61 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 15 papers in Surgery and 14 papers in Hepatology. Recurrent topics in Kay Samuel's work include Liver physiology and pathology (11 papers), Pluripotent Stem Cells Research (11 papers) and Pancreatic function and diabetes (9 papers). Kay Samuel is often cited by papers focused on Liver physiology and pathology (11 papers), Pluripotent Stem Cells Research (11 papers) and Pancreatic function and diabetes (9 papers). Kay Samuel collaborates with scholars based in United Kingdom, United States and Spain. Kay Samuel's co-authors include Stuart J. Forbes, John P. Iredale, David C. Hay, James A. Ross, Catherine Payne, Peter Hayes, Zara Hannoun, Judy Fletcher, John Plevris and James R. Black and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Genetics.

In The Last Decade

Kay Samuel

60 papers receiving 2.6k citations

Peers

Kay Samuel
Comparison fields: 5 of 106
  • Molecular Biology 1.5k
  • Surgery 923
  • Hepatology 712
  • Oncology 328
  • Biomedical Engineering 316
Replace Fred Fändrich with:
Fred Fändrich Germany
Maria Paola Serra Italy
Rebecca L. Aucott United Kingdom
Naoya Takayama Japan
Robert C. Huebert United States
Antonella Pellicoro United Kingdom
Carla Cicchini Italy
Koji Yoshida Japan
Tatiana I. Novobrantseva United States
Ken Nishimura Japan
Fred Fändrich Germany View profile →
Citations per field, relative to Kay Samuel
Kay Samuel · 1×
Citations per year, relative to Kay Samuel
Kay Samuel · 1×

Countries citing papers authored by Kay Samuel

Since Specialization
Citations

This map shows the geographic impact of Kay Samuel's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kay Samuel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kay Samuel more than expected).

Fields of papers citing papers by Kay Samuel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kay Samuel. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kay Samuel. The network helps show where Kay Samuel may publish in the future.

Co-authorship network of co-authors of Kay Samuel

This figure shows the co-authorship network connecting the top 25 collaborators of Kay Samuel. A scholar is included among the top collaborators of Kay Samuel based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kay Samuel. Kay Samuel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 17
3 2
4 42
5 2
6 24
7 27
8 7
9 14
10 23
11 10
12 34
13 1
14 13
15 308
16 19
17 23
18
The impact of bone marrow stem cells on liver fibrosis is critically determined by their route of cell trafficking
2
19 215
20 8

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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